This statistic illustrates the ranking of the most visited websites in Italy as of January 2020, by category. During the survey period it was found that approximately **** million online users visited general interest portals and communities, while **** million visited websites for watching videos and movies.

** percent of UK respondents answer our survey on "Most used websites and online services by type" with **************. The survey was conducted in 2025, among 5,457 consumers.

As of March 2022, news services was the most visited website category in Czechia, with almost ********************** real users visiting them. Among the rest were then various magazine website categories, or e-commerce websites.

This dataset contains a list of 3654 Dutch websites that we considered the most popular websites in 2015. This list served as whitelist for the Newstracker Research project in which we monitored the online web behaviour of a group of respondents.The research project 'The Newstracker' was a subproject of the NWO-funded project 'The New News Consumer: A User-Based Innovation Project to Meet Paradigmatic Change in News Use and Media Habits'.For the Newstracker project we aimed to understand the web behaviour of a group of respondents. We created custom-built software to monitor their web browsing behaviour on their laptops and desktops (please find the code in open access at https://github.com/NITechLabs/NewsTracker). For reasons of scale and privacy we created a whitelist with websites that were the most popular websites in 2015. We manually compiled this list by using data of DDMM, Alexa and own research. The dataset consists of 5 columns:- the URL- the type of website: We created a list of types of websites and each website has been manually labeled with 1 category- Nieuws-regio: When the category was 'News', we subdivided these websites in the regional focus: International, National or Local- Nieuws-onderwerp: Furthermore, each website under the category News was further subdivided in type of news website. For this we created an own list of news categories and manually coded each website- Bron: For each website we noted which source we used to find this website.The full description of the research design of the Newstracker including the set-up of this whitelist is included in the following article: Kleppe, M., Otte, M. (in print), 'Analysing & understanding news consumption patterns by tracking online user behaviour with a multimodal research design', Digital Scholarship in the Humanities, doi 10.1093/llc/fqx030.

The people from Czech are publishing a dataset for the HTTPS traffic classification.

Since the data were captured mainly in the real backbone network, they omitted IP addresses and ports. The datasets consist of calculated from bidirectional flows exported with flow probe Ipifixprobe. This exporter can export a sequence of packet lengths and times and a sequence of packet bursts and time. For more information, please visit ipfixprobe repository (Ipifixprobe).

During research, they divided HTTPS into five categories: L -- Live Video Streaming, P -- Video Player, M -- Music Player, U -- File Upload, D -- File Download, W -- Website, and other traffic.

They have chosen the service representatives known for particular traffic types based on the Alexa Top 1M list and Moz's list of the most popular 500 websites for each category. They also used several popular websites that primarily focus on the audience in Czech. The identified traffic classes and their representatives are provided below:

Live Video Stream Twitch, Czech TV, YouTube Live Video Player DailyMotion, Stream.cz, Vimeo, YouTube Music Player AppleMusic, Spotify, SoundCloud File Upload/Download FileSender, OwnCloud, OneDrive, Google Drive Website and Other Traffic Websites from Alexa Top 1M list

** percent of Canadian respondents answer our survey on "Most used websites and online services by type" with **************. The survey was conducted in 2025, among 2,732 consumers.

** percent of U.S. respondents answer our survey on "Most used websites and online services by type" with **************. The survey was conducted in 2025, among 13,689 consumers.

In November 2024, Google.com was the most popular website worldwide with approximately 6.25 billion unique monthly visitors. YouTube.com was ranked second with an estimated 3.64 billion unique monthly visitors. Both websites are among the most visited websites worldwide.

We are publishing a dataset we created for the HTTPS traffic classification.

Since the data were captured mainly in the real backbone network, we omitted IP addresses and ports. The datasets consist of calculated from bidirectional flows exported with flow probe Ipifixprobe. This exporter can export a sequence of packet lengths and times and a sequence of packet bursts and time. For more information, please visit ipfixprobe repository (Ipifixprobe).

During our research, we divided HTTPS into five categories: L -- Live Video Streaming, P -- Video Player, M -- Music Player, U -- File Upload, D -- File Download, W -- Website, and other traffic.

We have chosen the service representatives known for particular traffic types based on the Alexa Top 1M list and Moz's list of the most popular 500 websites for each category. We also used several popular websites that primarily focus on the audience in our country. The identified traffic classes and their representatives are provided below:

Live Video Stream Twitch, Czech TV, YouTube Live

Video Player DailyMotion, Stream.cz, Vimeo, YouTube

Music Player AppleMusic, Spotify, SoundCloud

File Upload/Download FileSender, OwnCloud, OneDrive, Google Drive

Website and Other Traffic Websites from Alexa Top 1M list

An audit of the top 1000 websites by keyword visibility, conducted by Specto Design. The dataset includes mobile and desktop performance, Core Web Vitals, mobile-friendliness, and industry classification.

Journals & Ranking

An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

Journal Ranking Dataset

This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

Key Features

• Rank: Overall rank of journal (derived from sorted SJR index).
• Title: Name or title of journal.
• OA: Open Access or not.
• Country: Country of origin.
• SJR-index: A citation index calculated by Scimago.
• CiteScore: A citation index calculated by Scopus.
• H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
• Best Quartile: Top Q-index or quartile a journal has in any subject area.
• Best Categories: Subject areas with top quartile.
• Best Subject Area: Highest ranking subject area.
• Best Subject Rank: Rank of the highest ranking subject area.
• Total Docs.: Total number of documents of the journal.
• Total Docs. 3y: Total number of documents in the past 3 years.
• Total Refs.: Total number of references of the journal.
• Total Cites 3y: Total number of citations in the past 3 years.
• Citable Docs. 3y: Total number of citable documents in the past 3 years.
• Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
• Refs./Doc.: Total number of references divided by the total number of documents.
• Publisher: Name of the publisher company of the journal.
• Core Collection: Web of Science core collection name.
• Coverage: Starting year of coverage.
• Active: Active or inactive.
• In-Press: Articles in press or not.
• ISO Language Code: Three-letter ISO 639 code for language.
• ASJC Codes: All Science Journal Classification codes for the journal.

Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

The most popular types of websites in the United Kingdom (UK) in 2019 were social media and chat websites, according to a recent survey. Other popular website categories were news, mail, and shopping.

“Top domains by organic feed content viewers” refers to the websites or online platforms that receive the highest number of viewers who engage with their content organically—i.e., without paid promotion—through social media feeds or content recommendation engines. These domains often excel in producing engaging, shareable content that naturally surfaces in users’ feeds on platforms like Facebook, Instagram, Twitter, LinkedIn, or through discovery engines like Google Discover or news aggregators.

In November 2024, Google.com was the most visited website in the United States, with over 25 billion total visits. YouTube.com came in second with 12 billion total visits. Reddit.com and Amazon.com counted approximately 3.12 billion and 2.89 monthly visits each from U.S. online audiences.

** percent of Indian respondents answer our survey on "Most used websites and online services by type" with **************. The survey was conducted in 2025, among 5,468 consumers.

Visitor analytics in city of Helsinki websites. The websites include, for example, the city’s main website hel.fi, the Youth Helsinki website that compiles the content for young people, the Helsinki Channel for webcasts and event recordings and the geographic data service kartta.hel.fi. Under Data and Resources, there is a list in CSV format of all the websites of the city for which visitor analytics is available.

The data contains information on, for example, the number of visitors to the website, the number of visits, the number of actions and the average time spent on the website. The data is obtained from Matomo, a web analytics monitoring tool.

The data is available for each month in three different files. The files are named with the year-month principle (YYYY-MM). The file is automatically updated daily at 02:00. The report contains data for the current month up to the previous day.

Data can be accessed by finding the desired month file in this directory: https://datastore.hri.fi/index.html?prefix=Helsinki/kanslia/kavijaanalytiikka/

For example, data from January 2022 can be downloaded from these links:

• https://datastore.hri.fi/Helsinki/kanslia/kavijaanalytiikka/matomo-export-2022-1-devices.json
• https://datastore.hri.fi/Helsinki/kanslia/kavijaanalytiikka/matomo-export-2022-1-sites.json
• https://datastore.hri.fi/Helsinki/kanslia/kavijaanalytiikka/matomo-export-2022-1-visits.json

Data attributes by file

ID_lista_Matomo (explanations of id numbers of other files)

• idsite = Identification number of the website. Corresponds to the key and idsite fields in other files.
• name = Name of the website. Corresponds to the label field in the Sites file.
• main_url = Website URL.
• ts_created = The date the site was connected to the Matomo tracking tool.

Visits (general metrics)

• key = Page ID in Matomo.
• nb_uniq_visitors = Number of unique visitors.
• nb_users = Number of unique active users (visitors with a known username/ID). If you do not use a User ID, this meter is set to zero.
• nb_visits = Number of visits (30 minutes of inactivity is counted as a new visit).
• nb_actions = Number of actions (page views, links and downloads).
• nb_visits_converted = Number of visits that generated the goal.
• bounce_count = Number of visits that ended immediately (viewing only one page).
• sum_visit_length = Total amount of time spent in seconds.
• max_actions = The maximum number of actions during the visit.
• bounce_rate = Ratio of site visits that ended immediately to the number of visits (see bounce_count).
• nb_actions_per_visit = Number of actions per visit.
• avg_time_on_site = Average amount of time spent on a given page in seconds.

Sites (pages ranked most visited to least visited)

• label = Page name in Matomo.
• nb_visits = Number of visits (30 minutes of inactivity is counted as a new visit).
• nb_actions = Number of actions (page views, links and downloads).
• nb_pageviews = Number of page views.
• revenue = Total revenue for the goals.
• visits_evolution = % change from previous equal period.
• actions_evolution = % change from previous equal period.
• pageviews_evolution = % change from previous equal period.
• revenue_evolution = % change from previous equal period.
• idsite = Page Matomo ID.
• main_url = Address specified for the page in Matomo.

Devices (metrics sorted by device type)

• label = Device type (e.g. desktop/smartphone/tablet/portable media player/phablet).
• nb_visits = Number of visits (30 minutes of inactivity is counted as a new visit).
• nb_actions = Number of actions (page views, links and downloads).
• max_actions = The maximum number of actions during the visit.
• sum_visit_length = Total amount of time spent in seconds.
• bounce_count = Number of visits that ended immediately (viewing only one page).
• nb_visits_converted = Number of visits that generated the goal.
• sum_daily_nb_uniq_visitors = The sum of the daily numbers of individual visitors over the selected period. Matomo does not process individual - visitors during the entire period.
• sum_daily_nb_users = The sum of the numbers of daily visits over the selected period.
• segment:deviceType=desktop/smartphone/tablet/portable media player/phablet = Defines a custom segment to filter reports with (sort by devices).
• logo:plugins\/Morpheus\/icons\/dist\/devices\/desktop/smartphone/tablet/portable media player/phablet.png = Logo displayed in Matomo for the - device in question.

Google.com continues to dominate the digital landscape, ranking as the most linked-to website worldwide with 468,745 referring subnets as of December 2024. Facebook.com follows closely in second place with 470,479 referring subnets, while YouTube.com ranked third with 417,827.

In November 2024, Google.com was the leading website in Finland by unique visits, with around 17.3 million single accesses to the URL during that month. YouTube.com followed, with around 11.7 million unique monthly visits. Wikipedia.org came in third, with 8.13 million unique monthly visits.

In 2022, ''general retail'' was the most popular e-commerce website category in Egypt in terms of web traffic. The average monthly visits to such websites stood at over **** million, followed by the electronics category (approximately **** million visits). Moreover, the website traffic for fashion reached around *** million.

** percent of Austrian respondents answer our survey on "Most used websites and online services by type" with ***************. The survey was conducted in 2025, among 1,999 consumers.